| User | knedle |
| Upload Date | September 22 2025 06:53 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise N (64-bit) |
| Model | ASRock B850 Pro-A |
| Motherboard | ASRock B850 Pro-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10462
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
11997
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10142
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10391
168.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12455
201.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13633
221.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
131476
153.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
415989
485.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
116816
136.8 IPS |
|
|
Object Detection (SP)
|
100% |
9576
759.5 IPS |
|
|
Object Detection (HP)
|
99% |
13342
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
8891
714.1 IPS |
|
|
Face Detection (SP)
|
100% |
28376
337.2 IPS |
|
|
Face Detection (HP)
|
100% |
36894
438.4 IPS |
|
|
Face Detection (Q)
|
97% |
24707
294.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
64448
496.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83536
643.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
53177
426.5 IPS |
|
|
Style Transfer (SP)
|
100% |
236152
303.6 IPS |
|
|
Style Transfer (HP)
|
100% |
450295
578.9 IPS |
|
|
Style Transfer (Q)
|
98% |
203748
262.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34575
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57626
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29523
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2537
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2823
53.0 IPS |